A novel periodic-signal-based iterative learning control method and its application to inverter system

被引：0
|
作者：
Meng Q. [1 ]
Hou Z.-S. [1 ]
机构：
[1] Advanced Control System Laboratory, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing
来源：
Hou, Zhong-Sheng (zhshhou@bjtu.edu.cn) | 1600年 / South China University of Technology卷 / 33期
基金：
中国国家自然科学基金;
关键词：
Data-driven control; Inverter; Iterative learning control; Periodic signal;
D O I：
10.7641/CTA.2016.50258
中图分类号：
学科分类号：
摘要：
A method of periodic-signal-based iterative learning control with application to inverter system is presented; the convergence condition for tracking error along the iteration axis is analyzed. The control law in time-domain and the parameter tuning method are developed. Since the tracking error can converge to zero when using this method, the accuracy of the inverter output voltage will be theoretically improved greatly. The effectiveness of this method is validated via the simulation implemented on MATLAB platform. In comparison with the PID control, simulation results show that the proposed method provides higher performance on load adaptability and output voltage tracking. © 2016, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码：289 / 294
页数：5
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